How to Use MLflow, TensorFlow, and Keras with PyCharm
At Data + AI Summit in June, we announced MLflow , an open-source platform for the complete machine learning cycle. The platform’s philosophy...
Analyze Games from European Soccer Leagues with Apache Spark and Databricks
Try this notebook series in Databricks Introduction The global sports market is huge, comprised of players, teams, leagues, fan clubs, sponsors, etc., and...
Sharing R Notebooks using RMarkdown
At Databricks, we are thrilled to announce the integration of RStudio with the Databricks Unified Analytics Platform. You can try it out now...
MLflow 0.2 Released
At this year’s Spark+AI Summit , we introduced MLflow , an open source platform to simplify the machine learning lifecycle. In the 3...
Build a Mobile Gaming Events Data Pipeline with Databricks Delta
How to build an end-to-end data pipeline with Structured Streaming Try this notebook in Databricks The world of mobile gaming is fast paced...